Nucleic Acids Research, 2003, Vol. 31, No. 1 219-223
© 2003 Oxford University Press
SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data
1 Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA 2 Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA 3 Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
*To whom correspondence should be addressed. Tel: +1 650 498 5998; Fax: +1 650 724 7554; Email: diehn{at}genome.stanford.edu
Correspondence may also be addressed to Ash A. Alizadeh. Tel: +1 650 498 5998; Fax: +1 650 724 7554; Email: arasha{at}genome.stanford.edu
The authors wish it to be known that, in their opinion, M.D. and A.A.A. should be regarded as joint First Authors
ABSTRACT
The explosion in the number of functional genomic datasets generated with tools such as DNA microarrays has created a critical need for resources that facilitate the interpretation of large-scale biological data. SOURCE is a web-based database that brings together information from a broad range of resources, and provides it in manner particularly useful for genome-scale analyses. SOURCE's GeneReports include aliases, chromosomal location, functional descriptions, GeneOntology annotations, gene expression data, and links to external databases. We curate published microarray gene expression datasets and allow users to rapidly identify sets of co-regulated genes across a variety of tissues and a large number of conditions using a simple and intuitive interface. SOURCE provides content both in gene and cDNA clone-centric pages, and thus simplifies analysis of datasets generated using cDNA microarrays. SOURCE is continuously updated and contains the most recent and accurate information available for human, mouse, and rat genes. By allowing dynamic linking to individual gene or clone reports, SOURCE facilitates browsing of large genomic datasets. Finally, SOURCEs batch interface allows rapid extraction of data for thousands of genes or clones at once and thus facilitates statistical analyses such as assessing the enrichment of functional attributes within clusters of genes. SOURCE is available at http://source.stanford.edu.
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